EUVIMEDEuropean Health Evidence
Uhr Sources10/10 Journal Tree
Easy Demo

European Health Evidence

The European alternative to PubMed

EUVIMED is the European alternative to PubMed: a central, multilingual research platform for medicine, nursing, life sciences and healthcare. It brings together international and European literature sources, study registries, open-access full texts, citations and retraction notices in one search. Unlike pure bibliographic databases, EUVIMED supports the entire research process – from discovery and appraisal with LIVIA and CLARA to traceable evidence synthesis. European in focus, transparent, interoperable and designed for science and healthcare.

EuropeanMultilingualInteroperableTraceable

EUVIMED BETA

EUVIMED is currently in beta

EUVIMED is under continuous development. Features, data coverage and presentation may change or be temporarily incomplete.

Results are beta

Search results, classifications, summaries and AI-assisted assessments may be incomplete, delayed or incorrect.

Check original sources

Do not use EUVIMED results without verification for diagnosis, treatment or other clinical decisions. Always consult the original source and applicable guidelines.

Errors and feedback help us improve EUVIMED: info@euvimed.com

Lokaler Crossref-Datenbestand · journal-article

Exploring the Use of Artificial Intelligence in Education: Ethical Considerations and Responsible Use of AI in the Digital Educational Learning Environment

Hiba Syed, Abdullah Ghunio, Muhammad Usman Jamal, Sana Deedar, Kaleem Mustafa

International Journal of Emerging Multidisciplinaries: Social Science · 2026

Vollständiger Abstract

Worum geht es in dieser Arbeit?

By leveraging AI on online platforms, educational institutions underwent a complete overhaul of their teaching processes and organizational activities. The paper explores ethical considerations and governance issues related to the implementation of AI in educational settings, emphasizing the importance of responsible and equitable usage. The research design is qualitative, involving a rigorous examination of current literature, policy reports, and case studies about the application of AI in educational contexts.The analysis presents essential risk-ethical considerations and assesses the existing governance strategies in the context of digital learning. The technologies based on AI offer an opportunity to enhance the individualization of education, its availability, and effectiveness. The research findings demonstrate that these developments create major privacy issues, together with algorithmic bias and a lack of transparency and accountability. The implementations of these systems do not establish specific ethical standards that require proper oversight and control mechanisms. The insights can be used to highlight the significance of collaborative policies between educators, policy makers, and developers of technological solutions to support teaching and learning in student-centered learning. The authors summarize that the indispensable components to integrate AI responsibly are opaque algorithms, solid policies to protect the data, ethical principles, and human control of AI. The steps need to be implemented to establish fairness, together with inclusiveness and trust, which will improve AI-enabled learning systems that support digital transformation in education through sustainable and responsible methods.

Bibliografischer Nachweis

Publikationsdaten

Autor:innen
Hiba Syed, Abdullah Ghunio, Muhammad Usman Jamal, Sana Deedar, Kaleem Mustafa
Quelle
International Journal of Emerging Multidisciplinaries: Social Science
Publikation
2026-01-01
Band / Ausgabe
Nicht angegeben
Seiten
Nicht angegeben
ISSN / ISBN
2958-0277, 2957-5311
Zitationen
0 laut Crossref
Referenzen
0 hinterlegt

Zitieren

Zitierfähiger Nachweis

Hiba Syed, Abdullah Ghunio, Muhammad Usman Jamal, Sana Deedar, Kaleem Mustafa (2026). Exploring the Use of Artificial Intelligence in Education: Ethical Considerations and Responsible Use of AI in the Digital Educational Learning Environment. International Journal of Emerging Multidisciplinaries: Social Science. https://doi.org/10.54938/ijemdss.2026.05.4.811
RIS BibTeX CSL-JSON

Kontext

Themen, Förderung und Nutzung

Lizenzhinweise: Lizenz 1